Frontiers in Artificial Intelligence

Review

Accepted on 27 Mar 2026

A Structured Framework for Effective and Responsible Generative Artificial Intelligence Chatbot Prompt Engineering Throughout the Scientific Process: A Comprehensive Guide for the Health and Medical Researcher

in Medicine and Public Health

Jeremy Y. Ng

Frontiers in Artificial Intelligence

Data Report

Accepted on 27 Mar 2026

ExplainTS: a benchmark dataset of pretrained models and post-hoc explanations for time-series classification

in Machine Learning and Artificial Intelligence

Maciej Mozolewski
Szymon Bobek
Grzegorz J. Nalepa

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Mar 2026

A Quantum–Classical Dual-Track Deep Learning Network for Explainable Parkinson's Disease Classification

in Medicine and Public Health

Alden Jenish S
Arushi Pethkar
Karthik R
SUGANTHI K

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 27 Mar 2026

The Intelligent Neonatal Healthcare: A Systematic Review of Machine Learning Architectures integrating the Internet of Medical Things and Blockchain

in Medicine and Public Health

Sarlinraj Madhalaimuthu
Sujatha R

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Mar 2026

Artificial Intelligence for Early Endometrial Cancer Diagnosis Using Multimodal Clinical Data: Integrating Deep Learning, Explainability, and Data Privacy

in Medicine and Public Health

Sital Dash
Kailas PATIL
Arjun Bali
Ishwari Rohit Raskar
Yashwant Dongre
Amol Bhosle
Vishal Meshram

Frontiers in Artificial Intelligence

Original Research

Accepted on 27 Mar 2026

Functional Stability Assessment and Adaptation for Critical Infrastructure Facilities

in Machine Learning and Artificial Intelligence

Victor Perederyi
Eugene Borchik
Viacheslav Zosimov
Oleksandra Bulgakova

Frontiers in Artificial Intelligence

Original Research

Published on 27 Mar 2026

Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy

in Medicine and Public Health

Zhendong Liu
Xiaoping Yang
Yu Zhang
Yujing Xu
Yue Xiang
Hongyan Wang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1770564

Original Research

Published on 27 Mar 2026

Metacognition of ChatGPT in confidence judgements

in AI for Human Learning and Behavior Change

Shun Yoshizawa
Ayako Onzo
Shinichi Nozawa
Tsugumi Takano
Tetsuo Ishikawa
Ken Mogi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1694192

786 views

Perspective

Accepted on 26 Mar 2026

Evidence-based AI: from trailblazer to trustblazer?

in Medicine and Public Health

Thomas Luechtefeld
Thomas Hartung

Frontiers in Artificial Intelligence

Original Research

Accepted on 26 Mar 2026

Enhancing Segmentation Fairness Through Curriculum Learning and Progressive Loss: A Centralized and Federated Perspective on Radiograph Analysis

in Medicine and Public Health

Ehsan E. Alam
Nickolas Littlefield
Arash Shaban-Nejad
Hamidreza Moradi

Frontiers in Artificial Intelligence

Systematic Review

Accepted on 26 Mar 2026

Strategic Value Driven by Artificial Intelligence in Global Businesses: A Bibliometric and Qualitative Analysis of the Most Influential Literature

in AI in Business

Melva Jenny Zambonino Torres
Jaime Marcelo Coello-Viejó
Silvia Carolina Zambonino-Torres

Frontiers in Artificial Intelligence

Systematic Review

Published on 26 Mar 2026

AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery—systematic review

in Machine Learning and Artificial Intelligence

Mario Esteban Marín Vásquez
Juan Carlos Blandón Andrade
Alonso Toro Lazo
Jesús Alfonso López Sotelo

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1799522

222 views

Original Research

Published on 26 Mar 2026

Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat

in AI in Food, Agriculture and Water

Yang Tian
Ziyu Liu
Chaitanya Pallerla
Siavash Mahmoudi
Ramesh Bahadur Bist
Yiting Xiao
Terry Howell
Jeyamkondan Subbiah
Dongyi Wang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1741144

106 views

Original Research

Published on 26 Mar 2026

Technical evaluation of language models adapted for the automation of legal contracts: clause extraction, classification, and summarization

in Technology and Law

Jaime Govea
Iván Ortiz-Gárces
Pablo Palacios
Alexandra Maldonado Navarro
Santiago Acurio Del Pino
William Villegas-Ch

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1782405

168 views

Original Research

Published on 26 Mar 2026

GAN-based bone suppression using a combined loss function

in Medicine and Public Health

Lukáš Jochymek
Markéta Vašinková
Vít Doleží
Petr Gajdoš

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1761336

Original Research

Accepted on 25 Mar 2026

Designing AI for Distress: An Iterative Case Study of a Hierarchical Agent for Psychosocial Support

in AI for Human Learning and Behavior Change

Vaishnavi Patturajan
Devipreya Ravikumar
Snegha Valli Narayanan
VALLIDEVI KRISHNAMURTHY
Stephen Santhosh

Frontiers in Artificial Intelligence

Editorial

Accepted on 25 Mar 2026

Editorial: Computational Intelligence for Multimodal Biomedical Data Fusion

in Medicine and Public Health

MOOLCHAND Sharma
Umesh Gupta
Oana Geman

Frontiers in Artificial Intelligence

Original Research

Accepted on 25 Mar 2026

HyRA-CXR: A Hybrid Residual–Attention Deep Network for Chest X-Ray Classification

in Machine Learning and Artificial Intelligence

Ahmeed Suliman Farhan
Umar Manzoor
Ali Al-kubaisi
Ayman Jalil
Zeeshan Perveez
Ahmed B. Mohammd
Wadhah Zeyad Tareq

Frontiers in Artificial Intelligence

Original Research

Accepted on 25 Mar 2026

Never Say Never: Exploring the Effects of Knowledge Availability on Agent Persuasiveness in Controlled Physiotherapy Motivation Dialogues

in AI for Human Learning and Behavior Change

Stephan Vonschallen
Rahel Häusler
Theresa Schmiedel
Friederike Eyssel

Frontiers in Artificial Intelligence

Original Research

Published on 25 Mar 2026

PRIMED: predicting DNA binding residues by leveraging pre-trained protein language models

in Medicine and Public Health

Luoshu Zhang
Xin Li
Ruocen Song
Qianqian Song
Xiao Fan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1763313

117 views

Original Research

Published on 25 Mar 2026

LeafFusionNet: a hybrid deep learning approach for robust plant disease detection

in AI in Food, Agriculture and Water

Srijani Das
G. Prethija
C. Sudha

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1773329

158 views

Review

Published on 25 Mar 2026

From operant learning to arbitrarily applicable relational responding: a review of Machine Psychology with the non-axiomatic reasoning system

in AI for Human Learning and Behavior Change

Robert Johansson
Patrick Hammer

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1775040

105 views

Brief Research Report

Published on 25 Mar 2026

Investigating the impact of outpatient services on length of stay: an easily interpretable approach

in Medicine and Public Health

Roberta Bellini
Simone Garau
Riccardo Gualiumi
Giorgio Leonardi
Stefania Montani
Manuel Striani
Cristian Zanelli

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1746547

110 views

Original Research

Accepted on 24 Mar 2026

Machine Learning for Multiple Sclerosis Classification and Disability Prediction using Clinical and MRI Data

in Medicine and Public Health

Paola Valsasina
Loredana Storelli
Nicolò Tedone
Patrizia Pantano
Claudia Piervincenzi
Silvia Tommasin
Antonio Gallo
Manuela Altieri
Gianpaolo Maggi
Nicola De Stefano

Frontiers in Artificial Intelligence

2,085 articles

articles

A Structured Framework for Effective and Responsible Generative Artificial Intelligence Chatbot Prompt Engineering Throughout the Scientific Process: A Comprehensive Guide for the Health and Medical Researcher

ExplainTS: a benchmark dataset of pretrained models and post-hoc explanations for time-series classification

A Quantum–Classical Dual-Track Deep Learning Network for Explainable Parkinson's Disease Classification

The Intelligent Neonatal Healthcare: A Systematic Review of Machine Learning Architectures integrating the Internet of Medical Things and Blockchain

Artificial Intelligence for Early Endometrial Cancer Diagnosis Using Multimodal Clinical Data: Integrating Deep Learning, Explainability, and Data Privacy

Functional Stability Assessment and Adaptation for Critical Infrastructure Facilities

Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy

Metacognition of ChatGPT in confidence judgements

Evidence-based AI: from trailblazer to trustblazer?

Enhancing Segmentation Fairness Through Curriculum Learning and Progressive Loss: A Centralized and Federated Perspective on Radiograph Analysis

Strategic Value Driven by Artificial Intelligence in Global Businesses: A Bibliometric and Qualitative Analysis of the Most Influential Literature

AI algorithms and IoT platforms for anomaly and failure prediction in industrial machinery—systematic review

Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting E. coli O157:H7 in poultry meat

Technical evaluation of language models adapted for the automation of legal contracts: clause extraction, classification, and summarization

GAN-based bone suppression using a combined loss function

Designing AI for Distress: An Iterative Case Study of a Hierarchical Agent for Psychosocial Support

Editorial: Computational Intelligence for Multimodal Biomedical Data Fusion

HyRA-CXR: A Hybrid Residual–Attention Deep Network for Chest X-Ray Classification

Never Say Never: Exploring the Effects of Knowledge Availability on Agent Persuasiveness in Controlled Physiotherapy Motivation Dialogues

PRIMED: predicting DNA binding residues by leveraging pre-trained protein language models

LeafFusionNet: a hybrid deep learning approach for robust plant disease detection

From operant learning to arbitrarily applicable relational responding: a review of Machine Psychology with the non-axiomatic reasoning system

Investigating the impact of outpatient services on length of stay: an easily interpretable approach

Machine Learning for Multiple Sclerosis Classification and Disability Prediction using Clinical and MRI Data